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- Tasks: Design and develop AI-enabled applications and scalable solutions in a GCP environment.
- Company: Join a leading consumer-focused organisation investing heavily in AI and Machine Learning.
- Benefits: Competitive salary, bonus potential, flexible remote work, and excellent career progression.
- Other info: Opportunity to mentor others and drive best practices in a dynamic environment.
- Why this job: Shape the future of AI while working on innovative projects that make a real impact.
- Qualifications: Strong software engineering background with experience in AI and Machine Learning.
The predicted salary is between 75000 - 80000 £ per year.
We’re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we’re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation.
This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement.
Key Responsibilities:- Design and develop AI-enabled Applications & Services
- Build scalable AI & Machine Learning solutions within a GCP environment
- Support the technical direction of AI Engineering initiatives
- Mentor and support other AI Engineers within the wider team
- Collaborate closely with Digital Products, AI & business stakeholders
- Support the development of AI Agents and intelligent automation capabilities
- Drive Engineering best practice across cloud-native AI delivery
- Contribute toward architecture, experimentation and proof-of-concept initiatives
- Strong Software Engineering background (Python preferred)
- Commercial AI / Machine Learning Engineering experience
- Hands-on Google Cloud Platform (GCP) experience
- Experience deploying ML / AI solutions into production environments
- Understanding of modern AI frameworks & LLM ecosystems
- Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable
- Strong stakeholder engagement and communication capability
- Previous mentoring or technical leadership experience advantageous
- GCP / Vertex AI
- Gemini
- Python
- AI Agents / ADK
- Machine Learning Frameworks
- APIs & Microservices
- Docker / Kubernetes
- CI/CD pipelines
- LLM Orchestration Frameworks
- Bonus potential up to c.15%
- Opportunity to join a growing AI capability within a large-scale Enterprise environment
- Excellent long-term progression potential as the AI function expands
Senior AI Engineer - GCP / Machine Learning / AI Agents in Slough employer: Mackenzie Jones
Contact Detail:
Mackenzie Jones Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - GCP / Machine Learning / AI Agents in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Machine Learning space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GCP and Machine Learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with AI Agents and stakeholder engagement. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Senior AI Engineer - GCP / Machine Learning / AI Agents in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning, especially with GCP. We want to see how your software engineering background has evolved into AI engineering, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing genuine enthusiasm for the role and the company.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying ML solutions or developing AI applications, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Mackenzie Jones
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP and Python. Brush up on your knowledge of AI frameworks and ML solutions, as you might be asked to discuss your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've designed and developed AI-enabled applications. Be ready to explain your thought process and how you tackled challenges, particularly in a production environment.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, think of examples where you’ve successfully collaborated with different teams. Highlight your communication skills and how you’ve managed expectations or gathered requirements from non-technical stakeholders.
✨Mentorship Matters
If you have mentoring experience, be sure to share it! Talk about how you’ve supported other engineers and contributed to their growth. This shows you’re not just a tech whiz but also a team player who values knowledge sharing.